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Today’s manufacturing systems are undergoing significant changes in the aspects of planning, production execution, and delivery. It is imperative to stay up-to-date on the latest trends in optimization to efficiently create products for the market. The Handbook of Research on Applied Optimization...

In a production environment, batch size is proportional to cost and productivity. Innovative technologies have emerged in lean manufacturing as a way to include a number of elements that emphasizes waste reduction, value enhancement, and high quality results. Handbook of Research on Design and...

Fast advances in information technology have led to a smarter world vision with ubiquitous interconnection and intelligence. Smart Manufacturing Innovation and Transformation: Interconnection and Intelligence covers both theoretical perspectives and practical approaches to smart manufacturing research...

By harnessing technological progress, good innovation policies can help enhance economic growth. New research offers additional insights into the design and application of such innovative policies. Industrial Dynamics, Innovation Policy, and Economic Growth through Technological Advancements examines...

As energy technology has emerged as an essential way to provide efficiency and environmental safety, monitoring these energy sources is a way of measuring the effectiveness of the applications and the fundamentals of each design. Technology and Energy Sources Monitoring: Control, Efficiency, and...

Rapid changes in technological development are forcing businesses to continuously innovate to improve their competitiveness, which is particularly evident in logistics and supply chain management (SCM), where innovation impacts both the strategic and operational levels. Supply Chain Innovation for...

In a global, highly competitive environment, organizations face increasing economic pressure and customer demands for more complex products and services. Hybrid algorithms have the potential to play an important role in helping organizations achieve cost reduction and increased product development....

As industrial systems become more widespread, they are quickly becoming network-enabled, and their behavior is becoming more complex and intelligent. The Handbook of Research on Industrial Informatics and Manufacturing Intelligence: Innovations and Solutions is the best source for the most current...

The manufacturing industry has experienced dramatic change over the years with growing advancements, implementations, and applications in technology. Manufacturing Intelligence for Industrial Engineering: Methods for System Self-Organization, Learning, and Adaptation focuses on the latest innovations...

In recent years, building information modeling has become a very active research area of construction informatics with investigation of ICT use within construction industry processes and organizations. The Handbook of Research on Building Information Modeling and Construction Informatics: Concepts and...

Industrial informatics as a field is currently expanding beyond improving the manufacture of goods to facilitating every aspect of the process, from after-market sales, to service production, sourcing, and e-maintenance, demonstrating the profound impact of informatics in modern society. Industrial...

In recent years, there has been growing interest in industrial systems, especially in robotic manipulators and mobile robot systems. As the cost of robots goes down and become more compact, the number of industrial applications of robotic systems increases. Moreover, there is need to design industrial...

During the last two decades, computer and information technologies have forced great changes in the ways businesses manage operations in meeting the desired quality of products and services, customer demands, competition, and other challenges. The Handbook of Computational Intelligence in Manufacturing...

The Handbook of Research on Nature-Inspired Computing for Economics and Management is an original, comprehensive reference work of research spanning from applications of nature-inspired computing to economics and management. An authoritative two-volume set, this resource provides global coverage on...

Two of the most important factors contributing to national and international economy are processing of information for accurate financial forecasting and decision making as well as processing of information for efficient control of manufacturing systems for increased productivity. The associated...

Supply chain integration in its various forms has been talked about in the literature for nearly two decades. But the impediments to improved integration have been difficult to overcome, and progress has therefore been painfully slow. This chapter examines three of the most powerful obstacles to...

In this chapter, the authors introduce the concept of preferred customer status as a means for creating supply-side induced advantages in highly competitive supplier markets. For the authors, being a preferred customer means that a buyer is awarded preferential treatment of important suppliers compared...

The main objective of this chapter is to present a hybrid model for bus load forecasting. This approach represents an essential tool for the operation of the electrical power system and the hybrid model combines a bus clustering process and a load forecasting model. As a case study, the model was...

In Chapters 2 and 3, the knowledge-based system and Multi-Agent system were illustrated. These are significant methods and theories of Manufacturing Intelligence (MI). Data Mining (DM) and Knowledge Discovery (KD) are at the foundation of MI. Humans are immersed in data, but are thirsty for knowledge....

The Intelligent Management Information System (IMIS) has the potential to transform human decision making by combining research in Artificial Intelligence, Information Technology, and Systems Engineering. The field of Intelligent Decision Making (IDM) is expanding rapidly, due in part to advances in...

This chapter provides an introduction to the modern approach of artificiality and simulation in social sciences. It presents the relationship between complexity and artificiality, before introducing the field of artificial societies which greatly benefited from the fast increase of computer power...

This chapter discusses two different approaches that gather empirical data and link them to modeling and simulations with agent-based systems: experimental economics which built reproducible settings and quantitatively defined indicators, and companion modeling which accompanies observed social groups...

The goal of this chapter is twofold. First, assuming that all agents belong to a genetic population, the evolution of inflation learning will be studied using a heterogeneous genetic learning process. Second, by using real-floating-point coding and different genetic operators, the quality of the...

Two of the most complex activities in production and operations management (POM) are inventory planning and operations scheduling. This chapter presents two problems related to these activities, namely, the capacitated lot-sizing and scheduling problem and the capacitated vehicle routing problem. For...

The low price of coffee in the international markets has forced the Federación Nacional de Cafeteros de Colombia (FNCC) to look for cost-cutting opportunities. An alternative that has been considered is the reduction of the operating infrastructure by closing some of the FNCC-owned depots. This new...